activity
20072018
most citedAn Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Nurse Rostering

82 citations · 122 across the 9 of their papers we have counts for

collaborators

10 papers

cs.GT2018

Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma

Jiawei Li, etc

How cooperation emerges and persists in a population of selfish agents is a fundamental question in evolutionary game theory. Our research shows that Collective Strategies with Mas…

cs.AI2009

An Evolutionary Squeaky Wheel Optimisation Approach to Personnel Scheduling

Uwe Aickelin, Jingpeng Li, Edmund Burke

The quest for robust heuristics that are able to solve more than one problem is ongoing. In this paper, we present, discuss and analyse a technique called Evolutionary Squeaky Whee…

cs.AI2009

A Component Based Heuristic Search Method with Evolutionary Eliminations

Jingpeng Li, Uwe Aickelin, Edmund Burke

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with evoluti…

cs.NE2008

Explicit Learning: an Effort towards Human Scheduling Algorithms

Jingpeng Li, Uwe Aickelin

Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approache…

cs.NE2008

Bayesian Optimisation Algorithm for Nurse Scheduling

Jingpeng Li, Uwe Aickelin

Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization…

cs.NE2008

A Component Based Heuristic Search method with Adaptive Perturbations for Hospital Personnel Scheduling

Jingpeng Li, Uwe Aickelin, Edmund Burke

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptiv…